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基于SVM的股市预测程序，效果极佳，值得使用。-Support Vector Machine forecast, mainly for large-scale objects to predict.
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支持向量机来分析数据，并通过建立向量机来预测数据的趋势-Support vector machine to analyze data and predict trends in the data
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it is a library for SVM(support vector machines) to be used in matlab. It includes a readme file for details. It can be used to train SVM on some dataset and use it to predict values(Machine Learning).
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该压缩包中包含的程序均在MATLAB下开发，从功能上分为两类。第一类名字中包含SVC的程序，主要用来对两类数据进行分类，并可以生成分类结果图。第二类名字中包含SVR的程序，主要用来对高维数据集进行预测，并可以生成预测结果图。该类程序可以很好地解决SVM中的分类及预测问题。-The archive contains the MATLAB program are under development, from the functions are divided into two categories
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基于支持向量机(SVM)的住房需求模型预测的MATLAB代码。-Based on support vector machine (SVM) model to predict the housing needs of the MATLAB code.
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This a demonstration of the Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) index.
The algorithm is described in:
A. Mittal, A. K. Moorthy and A. C. Bovik, No Reference Image Quality Assessment in the Spatial Domain
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一个matlab例程，基于SVM的信息粒化时序回归预测demo，实现了对上证开盘指数变化趋势和变化空间预测-
A matlab routine, regression forecasting demo SVM-based information granulated timing to achieve the opening of the Shanghai index trends and changes in spatial prediction
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对于大盘指数的有效预测可以为从整体上观测股市的变化提供强有力的信息，所以对于上证指数的预测具有很大意义。本代码用Matlab对1990.12.20-2009.8.19-每天的开盘指数进行支持向量机回归分析，拟合效果较好。-For effectively predict the market index can provide a strong message to the observed changes in the stock market as a whole, so the foreca
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主要是利用CLO对svm进行优化，并能进行预测的matlab程序，可以运行出来，供参考-CLO is mainly used to optimize the SVM, and can predict the matlab program, you can run out for reference
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SVM做分类回归程序已经调试完成 使用的是libsvm matlab -SVM method for regression and predict
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用SVM做预测的matlab程序,内部程序详细，包含数据(a program to predict time series)
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基于PSO优化的SVM算法，它可以用来预测分类(SVM algorithm based on PSO optimization can be used to predict classification.)
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